AI is not merely making designers faster at producing screens, prototypes, and research summaries. It is changing the object of design itself. The UX profession’s most valuable contribution stops being UI production and becomes the design of intent itself: defining what good means, encoding judgment into live systems, setting boundaries for agentic behavior, maintaining coherence across many parallel outputs, and preserving human purpose when software starts to act.

Case study of redesigning workflows for AI in computer game studios | Can you live 4 days without AI? | AI increases learning when used as a tutor and hurts when doing the exercises for the students | A streaming media platform for your job | DeepMind demos integration between voice input and pointing

Humans have been dreaming of thinking machines for more than 2,700 years, but real work on building them started in 1943 with the first neural networks. Progress during the following 80 years was slow, with many disappointments and “AI Winters,” but advances built up over time as compute scaled. Themes seen during this long history persist to this day.

New music video based on Moby-Dick | AI expands users’ tasks compared with traditional search, but provides narrower information results | AI dashboard visualizations help therapists spot trends hidden in session notes | How to elicit tacit knowledge to build AI workflows | A16Z awarding fellowships to design engineers

Condensed presentation of Jakob Nielsen’s 10 usability heuristics in infographics that explain what each heuristic means and show design patterns that support the heuristics as well as anti-patterns that undermine usability by violating the heuristics.

User researchers as role-playing game classes | AI posture recommendation feature in Huawei Pura 90 phones | AI helps teaching assistants provide better feedback to students | AI as a metacognitive coach | Recommending an entertaining short AI film | SpaceX’s plan for 100 TW orbital compute | New Chinese video model Happy Horse from Alibaba

Standard usability testing uncovers interface flaws, but deprivation studies reveal if a product should exist at all. By intentionally forcing users to abstain from software, we expose hidden dependencies, useless ghost features, and duct-tape workarounds, providing empirical data to ruthlessly declutter bloated interfaces and maximize true utility.

Claude Design | AI Does User Testing | AI Use Crosses 50% | GPT-Images-2 | GPT 5.5 | DeepSeek 4 Summary: Claude Design should be used differently than canvas-based design tools | AI conducts user testing and can now see what’s happening on the screen | For the first time, more than 50% of employed Americans use AI at work | OpenAI recaptures leadership in AI image generation with new, highly accurate model | Two upgraded AI models, GPT 5.5 and DeepSeek 4

Employer encouragement predicts workplace AI adoption roughly 4x more strongly than training or tool provision alone. This 10-step playbook shows design leaders how to build a culture where AI adoption happens naturally, without mandates, surveillance, or wasted training budgets, while avoiding the cybersecurity pitfalls of “Shadow AI.”

Translating social media posts by default makes online communities international | Indian film studios embrace AI | AI summaries rescue users from context decay | AI agents now account for almost as much website traffic as human search | Software customers demand agent-first design | “You Are Not Talking to Somebody Who Woke Up a Loser”

AI is saving time at scale, reshaping enterprise behavior, and exposing a new design problem: products must be built for uneven capabilities, uneven adoption, and an uneasy public. While macroeconomic data shows immense productivity gains and US enterprise dominance, micro-level metrics reveal usability flaws, job losses among juniors, and severe algorithmic trust issues.

Preschool robots build agency by reducing recovery time after failure | Multiple AI roles improve learning without flattening voice | Meta’s Muse Spark suggests the frontier race is shifting toward interface orchestration as well as raw model scale | Halter turns cattle management into a closed-loop AI system | GPT task horizon lower than Claude’s | Venture capital investments now even more dominated by AI

In a controlled field experiment, startups that redesigned end-to-end workflows around AI generated 90% more revenue than equally equipped peers that used AI mainly to speed up individual tasks.

OpenAI to emphasize usability | Integrated software | Comparing multi-shot AI video models | Grok’s image generation model receives an upgrade | AI use up in the workplace, and employees who use AI now worry less about losing their jobs to AI

AI can translate a single source across media, styles, and audience frames. That makes it possible to reuse core material in formats better suited to different platforms and audiences. Shakespeare’s Hamlet serves here as a case study in a wide range of AI media transformations.